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20120110093000.0 |
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110622s2011 gw eng |
| 020 |
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|a 3642150136 (hardback : alk. paper)
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| 020 |
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|a 3642150144 (ebook)
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| 020 |
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|a 9783642150135 (hardback : alk. paper)
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|a 9783642150142 (ebook)
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| 050 |
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|a TK7882.I6
|b T67 2011
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| 090 |
0 |
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|a TK7882.I6
|b T67 2011
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| 245 |
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|a Topological methods in data analysis and visualization :
|b theory, algorithms, and applications
|c Valerio Pascucci ... [et al.], editors
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| 260 |
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|a Heidelberg ;
|a New York :
|b Springer ,
|c c2011
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| 300 |
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|a viii, 260 p. :
|b ill. ;
|c 24 cm.
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| 490 |
1 |
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|a Mathematics and visualization
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| 504 |
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|a Includes bibliographical references and index
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| 505 |
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|a 1. Foundations of computational topology -- 2. Hierarchical topological data-structure -- 3. Topological feature extraction algorithms -- 4. Applications in scientific data analysis and visualization -- 5. Topological analysis of large-scale scientific data
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| 520 |
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|a Topology-based methods are of increasing importance in the analysis and visualization of datasets from a wide variety of scientific domains such as biology, physics, engineering, and medicine. Current challenges of topology-based techniques include the management of time-dependent data, the representation of large and complex datasets, the characterization of noise and uncertainty, the effective integration of numerical methods with robust combinatorial algorithms, etc. . The editors have brought together the most prominent and best recognized researchers in the field of topology-based data
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| 650 |
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|a Information visualization
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| 650 |
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|a Mathematical analysis
|v Congresses
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| 650 |
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|a Topology
|v Congresses
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| 700 |
1 |
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|a Pascucci, Valerio ,
|e author
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| 999 |
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|a 1000141750
|b Book
|c OPEN SHELF (30 DAYS)
|e Tembila Campus
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